Overview:

Industrial Internet of Things (IIoT) solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport. For many industries, IIoT will significantly improve reliability, production, and customer satisfaction. While, IIoT will initially improve existing processes and augmented current infrastructure, the ultimate goal will be to realize entirely new, and dramatically improved products and services. Successful companies will be those that understand how and where IoT technologies and solutions will drive opportunities for operational improvements, new and enhanced products and services, as well as completely new business models.

Emerging areas for industrial robotics include Robotics as a Service, Cloud Robotics, and General Purpose Robotics. The fifth generation (5G) of wireless technology will provide the communications and bandwidth necessary to allow various industries to leverage the next phase of robotics evolution. Industrial users will capitalize upon new and enhanced 5G enabled robotics capabilities to enable new use cases and improved work flow. Many business processes will change as enterprise becomes more savvy about the flexibility of robotics uninhibited by bandwidth constraints.

Cloud Robotics is distinguished from the general field of electromechanical automation through its use of Teleoperation as well as reliance upon various Cloud Computing technologies such as computing and storage as well as the emerging cloud-based business models enabling Robotics as a Service. In addition, Cloud Robotics will benefit greatly from Edge Computing technologies, such as Mobile Edge Computing, as well as commercial introduction of 5G. One of the important advantages of the Cloud Robotics market is the ability to make robotics and industrial automation equipment available to a much wider spectrum of users. One of the ways in which this is accomplished is via open APIs, which enable abstraction of the robotics control plane from the application user interface. This means that customers do not need to use proprietary user interfaces for robotic controllers.

An essential component of 5G networks in support of industrial automation, Mobile Edge Computing (MEC) facilitates optimization of fifth generation network resources including focusing communications and computational capacity where it is needed the most. Without MEC, 5G would continue to rely upon back-haul to centralized cloud resource for storage and computing, diminishing much of the otherwise positive impact of latency reduction enabled by 5G. In other words, MEC enables users and devices to store/access much higher volumes of data by way of direct access to the Internet rather than relying upon transport through the core of cellular networks.

This research evaluates the telecom and IT ecosystem in support of MEC including communications and computing infrastructure providers, managed services vendors, carriers and OTT providers. Our MEC analysis includes a focus on company strategies and offerings relative to current and anticipated future market needs. It also provides quantitative analysis of the Mobile Edge Computing market including segmentation by industry vertical, region of the world, application and services. It also provides forecasts for MEC based streaming data and real-time data analytics.

This research is critical to identifying opportunities for R&D, technology integration, and development of new solutions and applications across industry segments. Our findings, insights, data and forecasts are also a key part of capitalizing upon the market for new and enhanced hardware, software, platforms, and services for emerging IoT networks and systems. In support of these goals, the report provides critical analysis about IIoT technologies, companies, applications, services, and solutions. Report forecasts include overall global and regional IIoT outlook as well as IIoT by industry vertical, software, hardware, and services for the period 2018 to 2023.

This research also evaluates enabling technologies and the market outlook for 5G Network slicing. It provides analysis of the market opportunities including Configuration Management, Performance Management, Service Level Agreements, and more. It also includes 5G Network Slicing by specific use cases such as Smart Manufacturing, which includes Remote Monitoring, Supply Chain Management, Asset Management, Real-Time Monitoring, and Network Monitoring. In addition, it provides an assessment of major segments such as 5G Network Slicing in consumer, enterprise, and industrial IoT. It provides global forecasts for each area covered as well as regional estimates for 5G Network Slicing by Segment, RF Band, Application, and Industry Vertical through 2023.

This research also evaluates the Cloud Robotics market including technologies, companies, strategies, use cases, and solutions. The report provides global and regional forecasts for Cloud Robotics apps, services, and components from 2018 to 2023. Forecasts include the market outlook for Cloud Services support of Cloud Robotics including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), and Robotics as a Service (RaaS).

Forecasting for Cloud Robotics by deployment model is also included covering Public Cloud, Private Cloud, Hybrid Cloud, and Community Cloud. It includes detailed forecasts for robotics by robot type, components, capabilities, solutions, and connectivity for 2018 to 2023. All direct purchases of Mind Commerce reports includes time with an expert analyst who will help you link key findings in the report to the business issues you're addressing. This needs to be used within three months of purchasing the report.

Select Research Findings:

Global Cloud Robotics Market will reach $16.1 billion USD by 2023

Certain industries will become early beneficiaries of 5G enabled robotics

5G Network Slicing support of Smart Manufacturing will reach $425.3 billion by 2023